488 results about "Rework" patented technology

The invention discloses a high-precision instrument assembly fault backtracking method and system, belongs to the field of precision manufacturing, and aims to solve the problems that in a traditional backtracking method, assembly data are scattered and unreliable, fault root positioning is fuzzy, and new scene adaptation depends on a large amount of data. The method comprises the following steps: collecting assembly structured data, video images and environment data in a multi-source manner, filtering out low-quality images, and distributing unique identifiers for products; fusing the multi-modal data to generate a depth feature matrix; constructing an anomaly detection model to output a risk score and a label; hashing the data and then storing the data into a product exclusive private block chain; when a fault occurs, extracting data on the chain through a unique identifier, reconstructing an assembly process by using a graph neural network, and comparing a standard positioning root; and based on the fault report incremental training model, parameters are optimized in combination with meta-reinforcement learning. According to the method, the data authenticity is guaranteed, the fault backtracking precision and efficiency are improved, a new scene is quickly adapted, the production rework rate is reduced, and the stable assembly quality is maintained.

The invention relates to the technical field of printed circuit board copper embedding, and discloses a method and device for controlling the copper embedding quality of a printed circuit board, computer equipment and a storage medium. The method comprises the following steps: acquiring a projection image of a copper nail grabbed by a mechanical arm and a hole site on a printed circuit board; converting the projection image into a three-dimensional image; extracting information in the three-dimensional image to obtain the diameter of the copper nail and the diameter of the hole site; calculating a difference value between the diameter of the copper nail and the diameter of the hole site to obtain an interference value; judging whether the interference value exceeds a preset threshold value or not; and if the interference value does not exceed the preset threshold value, controlling the mechanical arm to embed the copper nail into the hole site of the printed circuit board so as to complete the copper embedding operation. According to the method, high-precision quantitative detection of the diameter of the copper nail and the diameter of the hole site is achieved, the difference value of the two diameters is calculated in real time, whether the interference magnitude of copper embedding operation is within the design range or not can be accurately judged, the copper embedding yield is increased, and the rework and scrap cost caused by copper embedding defects is reduced.

The invention relates to the technical field of LED display screen box tracing, in particular to a production tracing system and method of an LED display screen box. The method comprises the following steps that a laser calibration parameter template library bound with material batch codes is established in an MES system, an LED display screen box comprises multiple layers of PCB substrates, a PCB substrate laminated structure comprises at least one signal layer, a power supply layer and two grounding layers, and cross-layer interconnection between the layers is achieved through blind holes and buried holes; and an assembly station specification switching signal is detected in real time, when the assembly station switches the specification of the display module, the batch code of the current material is scanned, the corresponding calibration parameter group is extracted from the laser calibration parameter template library based on the batch code of the current material, and the calibration parameter group is synchronized to the laser marking equipment in real time. According to the invention, the accuracy and reliability of LED display screen box production tracing are improved, the problem root is conveniently and rapidly positioned, and the repair cost is reduced.

The invention belongs to the technical field of production scheduling systems, and particularly relates to an adhesive tape production line production scheduling system based on intelligent optimization, which comprises a sensing layer for monitoring operation data of equipment through sensing equipment, sorting the equipment data into an equipment data packet and uploading the equipment data packet to a control center, the equipment data packet comprises a production state, an operation state, process parameters and material stock; static specifications, dynamic performance and plan constraints of equipment are converted into mathematical constraints which can be identified by a scheduling algorithm, and an equipment processing boundary is determined through an adaptive matrix, so that the problems that large equipment is allocated to small-specification orders or low-precision equipment is allocated to high-precision demands, the equipment specification mismatching rate is reduced, and the rework rate is reduced due to insufficient equipment capability are avoided; moreover, productivity expectation is dynamically corrected through an attenuation curve, progress delay caused by scheduling based on theoretical values is avoided, scheduling progress deviation is reduced through productivity attenuation correction, and the order on-time delivery rate is increased.

The invention relates to the technical field of hydraulic machine oil cylinder assembling, in particular to an automatic oil cylinder assembling control system and an assembling process. Comprising an assembling platform, a clamping mechanism, a mounting mechanism, a visual monitoring system and an upper computer, the upper computer controls the clamping mechanism, the mounting mechanism and the visual monitoring system, through cooperation of all the mechanisms and a monitoring module, an oil cylinder is moved from one end of the assembling platform to the other end of the assembling platform, all parts are assembled in the moving process, and the assembling process is completed. The purpose of automatically installing the oil cylinder is achieved, the whole installation process can be monitored, and the purposes of reducing the number of reworking times, improving efficiency and improving the quality of the oil cylinder are achieved.

The invention relates to the technical field of layout design, and particularly provides a PCB layout design verification method, system and device and a medium, and the method comprises the steps: extracting a design intention from a design demand text through a natural language processing technology; querying design constraint parameters from a pre-constructed knowledge graph based on the design intention; generating a dynamic verification rule according to the design constraint parameter; and verifying the design parameters in the PCB layout by using a rule engine and applying the dynamic verification rule, and outputting a verification result. According to the invention, the verification efficiency is improved, and the rework rate caused by constraint deficiency is reduced.

The invention provides an MES-based defect detection and quality control optimization method and system. Defect prevention and process dynamic adjustment are realized through a full-process data closed loop. The method comprises the following steps: collecting multi-process data, extracting features such as material batches, process parameters and equipment numbers to construct defect tags, cleaning historical data, constructing time window features, performing multi-class defect classification prediction by adopting an LSTM + attention mechanism model, and analyzing feature contribution degrees in combination with an SHAP value. And setting a multi-stage early warning mechanism, triggering equipment pause and maintenance notification based on a yield threshold, performing graded response according to defect severity, dynamically adjusting equipment parameters, and linking process optimization suggestions. And iterating the model and the rule, returning rework data to generate an optimized sample, mining a defect-parameter association rule in combination with an Apriori algorithm, and updating the equipment health degree evaluation model. The problems of hysteresis quality and staticization of traditional quality control are solved, and an intelligent closed-loop system from defect prediction to process optimization is constructed.

The invention relates to the technical field of crossing of augmented reality and intelligent manufacturing, and provides an intelligent assembly guiding and real-time quality inspection method and system for a narrow space. According to the method, multiple sensors are arranged in AR glasses to collect narrow space environment data in real time, high-precision matching of a virtual model and a real environment is realized based on a point cloud registration technology, and a dynamic assembly guide animation is generated; after the process is completed, triggering a quality inspection instruction through an AR interface gesture, and automatically shooting an assembly result by a depth camera carried by a mechanical arm; performing real-time feature comparison by adopting a deep learning algorithm to generate a visual detection report; and when the assembly deviation is detected, the system immediately provides error correction guidance on an AR interface and automatically restarts current process guidance to form an'operation-quality inspection-error correction 'real-time closed loop. The method effectively solves the technical problems that in narrow space assembly, blind area operation difficulty is large, quality verification lags behind, and the rework rate is high.

The invention discloses a BIM (Building Information Modeling)-based suspended ceiling advanced accurate positioning and trepanning construction method, which comprises the following steps of: S1, establishing a construction model of each specialty in a suspended ceiling, performing collision inspection, and adjusting the construction model; s2, establishing a three-dimensional model including suspenders, keels and the like by utilizing BIM software; s3, comprehensive collision inspection is carried out, and the ceiling structure is prevented from conflicting with other professional equipment; s4, generating a construction drawing and organizing field implementation according to comprehensive suspended ceiling deepening typesetting; s5, a trepanning positioning plate is manufactured, and the trepanning positioning plate is used for accurately positioning the trepanning point position of the veneer plate on site; s6, paying off the trepanning point, confirming a central point and implementing accurate trepanning; and S7, after trepanning is completed, point location installation is conducted on facility equipment needing to be installed in advance. Advanced coordination of the keel in the suspended ceiling and various equipment point positions can be achieved, precise positioning of suspended ceiling trepanning is achieved, disassembly and rework are reduced, and the construction precision and efficiency are improved.

According to the real-time production scheduling method provided by the invention, the material demand is triggered based on the production plan, the MES and the WMS collaboratively complete the global scheduling of the raw materials, after the raw materials are delivered to the production line, the material batch segmentation or combination or rework path optimization is executed in real time according to the abnormal condition, and the real-time production scheduling is realized through dynamically triggering the material demand, collaboratively and globally scheduling the MES and the WMS and a real-time abnormal response mechanism. And efficient configuration of production resources and rapid closed loop of abnormal working conditions are realized, so that the flexibility and intelligence level of the manufacturing process is improved.

The invention provides a method for monitoring the tightening state of a screw on line, which comprises the following steps of: based on segmented characteristic analysis of a torque-angle (T-theta) curve, refining a standard tightening process into three stages: a screwing-in angle stage, a friction torque stage and a tightening torque stage, and simultaneously extracting characteristic quantity for each stage, and establishing a judgment rule or model to detect whether the thread is screwed in or not, whether slipping / impacting occurs or not, whether expected pre-tightening force is reached or not, whether the bottom surface is jacked or not, whether the thread is damaged or broken or not and the like. And finally, stage judgment is gradually updated along with the sampling points in the tightening process. According to the method, specific physical events in the process can be identified instead of final value abnormity, abnormal tightening can be predicted and stopped before tightening is finished, reworking and damage are reduced, misjudgment is reduced through in-segment feature analysis, continuous improvement is facilitated, and threshold values and a judgment model are continuously optimized through historical waveform learning.

The invention discloses an SPR (Surface Plasmon Resonance) online pre-riveting detection control method, which relates to the technical field of riveting and comprises the following steps of: conveying rivets from a stock bin or an automatic feeding mechanism to a riveting area according to a preset initial feeding speed; and when the rivet enters the feeding channel and reaches the visual range of the cameras, the appearance information of the rivet is synchronously collected through the cameras installed at different positions and at different angles. According to the method, multi-angle visual inspection, deep learning deformation analysis and dynamic feeding adjustment are combined, three-dimensional reconstruction and standard comparison of rivets can be completed in a short time, and deformation is accurately quantified. Compared with fixed high-speed feeding, the method has the advantages that abnormal rivets can be intervened in real time, secondary impact is reduced by reducing the feeding speed, the detection time is prolonged, and the deformation recognition precision is improved, so that the rivet clamping risk and batch defective products are reduced, potential safety hazards caused by insufficient riveting strength are prevented, the reliability of a production line is improved, and the reworking cost is reduced; and stable riveting quality is ensured.

The invention relates to a ship assembly carrying docking precision control method, device and equipment and a storage medium. According to the method, the whole-process precision control in the ship assembly and carrying process can be realized by constructing the digital twin, collecting the data of the multi-source sensor, establishing the virtual-real mapping relation and combining deep learning prediction and real-time compensation, the butt joint state of the ship block can be monitored in real time, thermal deformation caused by welding can be predicted in advance, and the welding quality can be improved. And dynamic adjustment is conducted through a compensation strategy, it is guaranteed that the final welding precision reaches the standard, and therefore rework is reduced, the precision of butt joint errors can be greatly improved, the rework rate is effectively reduced, and the quality and efficiency of ship building are remarkably improved.

The invention discloses an elevator construction three-dimensional visual management system based on digital twinning, and relates to the technical field of digital twinning, and the elevator construction three-dimensional visual management system is based on an obtained standardized data set DatOut and a time slice sequence Tms corresponding to a construction stage; then, a stage scene set ScnSet is generated through twin modeling fusion, the geometric change of the shaft and the installation condition of components can be dynamically reflected, and the wiring planning deviation caused by unclear description of the narrow shaft environment in a traditional two-dimensional drawing is avoided; according to the method, a path candidate set PatSet is generated, and an evaluation result set EvaSet is calculated, so that the situation that the path is too long, the bending is too fast or the maintenance space is insufficient in the field when manual wiring is carried out by depending on construction experience traditionally is avoided, constructors can intuitively preview the path trend in a virtual scene, and the construction efficiency is improved. And clear execution guidance is directly obtained in the construction stage, so that rework and construction period delay caused by wiring path conflict or rule violation are reduced.

The invention discloses a self-repairing material for electronic device packaging and a preparation method and a packaging method thereof, and belongs to the technical field of electronic device packaging. The self-repairing material comprises the following components: a dynamic reversible chemical bond network formed by a DA bond prepolymer and a hydrogen bond donor in a synergistic manner, boron nitride nanosheets and carbon quantum dots, adding boron nitride nanosheets and carbon quantum dots into the DA bond prepolymer, and fully dispersing; then adding a hydrogen bond donor, and fully stirring to obtain a self-repairing material; spraying a self-repairing material on the surface of the substrate to form a thick packaging layer, curing to form a three-dimensional interpenetrating network structure, and packaging the electronic device; according to the invention, the packaging layer has a rapid self-repairing capability and supports efficient repair; the material has high thermal conductivity, mechanical strength and thermal expansion matching with an LED chip; the self-repairing process does not need high temperature or complex equipment, and is compatible with the existing packaging production line.

The invention provides a working procedure and working hour splitting method and system, electronic equipment and a storage medium. The working procedure and working hour splitting method comprises the steps of obtaining event data of Internet of Things sewing equipment; based on the event data, acquiring a plurality of relatively long downtime intervals in a specific time period; for each long downtime interval, event data of finishing sewing of the last garment by the employee is screened out, and an event data set is formed; the event data set comprises event data of motor starting, motor stopping and preset thread trimming times; based on all the event data sets, obtaining data of working hours of the splitting process; and based on the data of the working hours of the splitting process, splitting event data of preset thread trimming times to obtain the working hours of the employees for completing a single process. According to the method, refined splitting of single-process working hours can be realized, and the problem of out-of-order process data caused by rework or low proficiency of staff is solved. In addition, only the number of times of thread trimming needed to be split needs to be provided, and the difficulty of scheme application is reduced.

The utility model discloses a resistance-capacitance packaging structure compatible with SMT and PTH, which comprises a compatible unit arranged on a circuit board, the compatible unit comprises at least one pair of PTH packaging bonding pads and at least one pair of SMD packaging bonding pads, the overlapping part of the orthographic projection of one PTH packaging bonding pad and the orthographic projection of one SMD packaging bonding pad is not less than one third of the SMD packaging bonding pad, and the thickness of the compatible unit is smaller than the thickness of the compatible unit. And the overlapping part of the orthographic projection of one PTH packaging bonding pad and the orthographic projection of one SMD packaging bonding pad is not greater than one half of the SMD packaging bonding pad. According to the utility model, advantages of SMT and PTH packaging can be fully utilized, more choices are provided for resistance-capacitance devices, rework caused by material replacement during circuit board design is avoided, and efficiency is improved. When the limit height meets the requirement and the requirement on the stability is not high, some PTH resistance-capacitance devices with lower cost can be inserted; when the height of the structure is limited, only short devices can be used, and SMT resistance-capacitance devices can be mounted.

The invention provides an electrode holder electrode cap grinding detection method and system based on AI visual diagnosis, through a visual identification system integrated with a light source system, an industrial camera, AI visual processing software, a PLC controller and the like, a robot moves to a camera identification position after grinding of an electrode holder is completed, the robot sends an in-place signal, the visual system carries out photographing identification, and the detection result is obtained. And after identification is completed, an identification result signal is sent to the robot. If the electrode cap grinding is OK, the robot directly returns to the safe standby position and enters the next procedure, and if the electrode cap grinding is NG, the robot stops at the current position, an alarm signal is sent, and manual intervention is conducted. According to the method, 100% real-time feedback and alarm mistake proofing of robot electrode holder electrode cap coping are achieved, compared with a traditional mode, no welding parameter needs to be adjusted, the quality problem caused by parameter change is effectively avoided, meanwhile, welding quality caused by improper electrode cap coping is prevented, the starting rate of whole-line equipment is increased, and the repair cost is reduced.

The invention discloses a quality monitoring method and device for a metal surface treatment process, equipment and a medium, and belongs to the technical field of computers. The method comprises the following steps: acquiring surface three-dimensional data of a metal object; according to the surface three-dimensional data and cladding parameters, target position data after cladding is determined; in the process of carrying out laser cladding on the metal object, actual position information after cladding and surface regularity information after cladding are obtained; and identifying whether the actual position information is consistent with the target position information or not so as to carry out quality monitoring on the cladding thickness, and identifying whether the surface regularity information after cladding accords with the target regularity or not so as to carry out quality monitoring on the cladding regularity. According to the technical scheme, real-time monitoring and multi-dimensional quality evaluation in the cladding process can be achieved, reworking is reduced, and the timeliness and comprehensiveness of cladding quality monitoring are improved.

The invention discloses a BIM (Building Information Modeling)-based hidden project information tracing method, which realizes bidirectional synchronization of a physical entity and a digital model by distributing a unique identifier for a hidden project and binding the unique identifier with a BIM preset path attribute and collecting construction data in real time in combination with the Internet of Things. When the pre-embedded path deviation is detected, the system automatically triggers early warning and generates a correction record, the correction record is updated to the BIM database in real time, and it is ensured that the model data are consistent with the real scene pre-embedded position all the time. Meanwhile, through deep fusion of the live-action three-dimensional model and the BIM, the spatial relation of hidden engineering can be visually presented, construction decision optimization is assisted, the reworking risk is remarkably reduced, the engineering quality and the construction efficiency are improved, reliable data support is provided for building intelligent management, and then the problems that dynamic association is not formed between an existing BIM model and a live-action pre-embedded position, and the construction efficiency is poor are solved. The technical problems that BIM model data records are deviated from actual live-action pre-embedded positions, and pre-embedded full-life-cycle tracing is affected are solved.

The invention provides a digital production supervision method and system, belongs to the field of computers, and aims to solve the problems of high rework rate and low efficiency caused by the fact that optical inspection or chemical analysis often depends on cleaned quartz pieces due to incomplete cleaning of cracks and residual metal and the like and the optimal correction opportunity is missed once the problems are found. The method comprises the steps that in the stage of cleaning a hot-worked quartz workpiece, a cleaning formula is automatically matched based on information of the quartz workpiece, and the cleaning formula comprises a cleaning solution ratio and a cleaning time-temperature control curve; state change parameters of cleaning liquid in the cleaning tank are obtained in real time, wherein the state parameters of the cleaning liquid comprise conductivity and oxidation-reduction potential; and evaluating the quality defect of the quartz workpiece based on the state change parameter of the cleaning fluid.

The invention belongs to the technical field of remanufacturing process, and discloses a digital twin-driven reprocessing scheduling optimization method, which comprises the following steps: initializing and generating a reprocessing initial scheduling scheme in a physical workshop, and moving the reprocessing initial scheduling scheme to a third window of a virtual workshop; based on a rolling window mechanism, moving the task which is being reprocessed currently and the task which is about to be reprocessed from the third window to the second window; if it is detected that the emergency task is inserted, all reprocessed tasks in the second window are moved to the first window; moving the emergency task to a second window; based on the target function of minimizing the total cost and the total time, a whale optimization algorithm is adopted for solving, and rescheduling schemes of all tasks in the second window are obtained; and sending the rescheduling scheme to the physical workshop for execution until no task needing rescheduling exists in the third window. According to the method, insertion of emergency tasks is considered, and rescheduling and response efficiency are considered.

The invention relates to a secondary battery and a preparation method thereof, printing equipment, an energy storage system and electric equipment, and relates to the technical field of secondary batteries. The printing equipment generates a three-dimensional model of the secondary battery through the three-dimensional modeling system, the appearance of the surface of a shell of the secondary battery can be clearly displayed, concave-convex or abrasion and the like of the surface of the secondary battery can be constructed by the three-dimensional model, and the projection guiding system generates a projection image according to the three-dimensional model of the secondary battery. The projection guiding system projects the projection image to the surface of the secondary battery, and the projection image can display the spraying boundary and the thickness gradient information needing spraying, so that the spraying system can conduct spraying according to the projection image, the efficiency and accuracy of spraying operation are improved, and the spraying efficiency is improved. The requirements of secondary batteries of different shapes and sizes for spraying of insulating layers can be met, high-precision and customized spraying of the insulating layers on the surfaces of the secondary batteries can be achieved, the spraying effect can be improved, and extra cost such as rework caused by spraying errors can be reduced.

The invention relates to the technical field of industrial automation control, and discloses a multi-station cooperative control method and system of a distributed PLC. The method comprises the steps that independent PLCs are arranged at feeding stations of an annular conveying line, and PLC control units are synchronously formed through an industrial Ethernet and a global clock; the order parameters and the target process information are written into a code carrier on the tray trolley through an RFID radio frequency read-write device, and the code carrier records the process progress, the detection result, the abnormal code and the beat deviation; when the code carrier enters each feeding station along with the tray trolley in sequence, the PLC control unit reads information, monitors the position of the trolley, executes a corresponding task and updates process information in real time; when the detection result is abnormal or the beat deviation exceeds a threshold value, the system triggers a beat adaptive algorithm to generate an optimization instruction set to guide the production beat adjustment; and the warehousing station combines the optimization instruction to execute finished product warehousing or repair processing. The automation level and the production efficiency of a production line are improved.

The invention discloses a base installation precision control method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring reference data of a ship block main body in a target state; wherein the target state is an unstressed inclined state; the reference data refers to theoretical reference data for positioning; correcting the reference data to obtain target reference data; based on the target reference data, determining base installation position data of the ship block base; determining base reference data of a ship block base; wherein the base reference data refers to data used for positioning the position of the base; and the ship segmented base is installed based on the base installation position data, and precision control is conducted on the installed ship segmented base through the base reference data. According to the technical scheme, the base is installed when the ship segment body is in the inclined state, and the segment manufacturing period can be effectively prolonged, repair is reduced, and the operation efficiency is improved by unifying the detection reference and reducing the measurement difference rate.

The invention discloses an electric discharge machine multi-machine cooperative machining control method and system, and relates to the technical field of electric discharge machines. A mapping table is established, an alignment state is generated, a medium pollution threshold value is set and monitored, candidate scheduling is generated, simulation is performed by using a discharge parameter template, and gap updating monitoring, electrode abrasion compensation writing, verification before transfer and remeasurement are combined to generate a receipt. Through unified work order analysis and operation drawing modeling, centralized management of the electrode, the machine tool capacity and the quality threshold value is achieved, it is ensured that the machining precision of different machine tools is consistent, the overall efficiency is improved, the stability of continuous machining is kept, through transfer verification and quality closed loop, it is ensured that all procedures are traceable, and the working efficiency is improved. And continuous optimization is realized through abnormal classification and experience library updating, so that rework is reduced on the whole, and the stability, precision and production takt of multi-machine collaborative processing are improved.

The invention relates to a wiring layout method based on reinforcement learning, which combines a macro-cell layout model and a congestion prediction model, and introduces a wiring evaluation mechanism in a layout stage, so as to improve the manufacturability and wiring success rate of chip design. The method specifically comprises the following steps: carrying out macro-cell layout by utilizing a layout model driven by reinforcement learning; performing congestion prediction on the layout result by using a congestion prediction model; extracting three types of features of a macro region, wiring density (RUDY) and pin density (Pin RUDY) after each layout iteration, normalizing the features, and combining the features into a three-channel feature map as the input of a congestion prediction model; and dynamically adjusting a reward function of reinforcement learning according to a prediction result, and guiding the layout model to avoid a high-congestion area. According to the method, the realizability of the layout scheme in the subsequent wiring stage can be remarkably improved, reworking is reduced, the design cost is reduced, and the method has high engineering practicability and expansibility.

The invention relates to the technical field of batteries, in particular to a processing method of a back-polished suede-like heterojunction battery rework piece and application of the back-polished suede-like heterojunction battery rework piece. The processing method comprises the following steps: S1, if a transparent conductive oxide film layer exists on the surface of a reworked piece, removing the transparent conductive oxide film layer by acid pickling; s2, performing alkaline micro-corrosion secondary texturing treatment on the reworked wafer treated in the step S1 so as to selectively remove an amorphous silicon functional layer, modifying a front pyramid textured surface so as to reduce the reflectivity, and enabling the reflectivity reduction amount of a back-like back-polished structure to be less than or equal to 3.5%; and S3, carrying out cleaning and surface rounding treatment on the silicon substrate after secondary texturing. According to the method, high-efficiency, low-loss and low-cost reworking treatment is realized while the integrity of the similar back-polished differentiated suede structure is guaranteed, and a key technical support is provided for large-scale manufacturing of the thin-sheet heterojunction solar cell.

The application discloses a preparation method of a multi-layer composite film system, a conductive thin film and a semiconductor device. The preparation method of the multi-layer composite film system comprises the following steps: preparing a first layer of metal film on a substrate by a vacuum coating method; performing surface roughening treatment on the first layer of metal film; and preparing a second layer of metal film on the first layer of metal film after the surface roughening treatment by the vacuum coating method. The preparation method of the multi-layer composite film system can enhance the adhesion between the film layers by performing the surface roughening treatment on the first layer of metal film, so that the mechanical combination mode is adopted between the film layers, the adhesion between the film layers is improved, some film layers which cannot be combined under vacuum can be effectively connected in the mechanical combination mode, the equipment investment cost is reduced, the multi-layer film system of various types is prepared by a single device, the substrate rework is effectively reduced or prevented, and the production cost is greatly reduced.

This invention relates to the field of strategic planning technology, and discloses a strategy generation method and system based on anchor bolt mesh installation. The method includes: acquiring all anchor bolt positions and mesh sizes within the tunnel, and correcting the mesh sizes; digitally twinning the anchor bolt positions in a three-dimensional coordinate system to construct a multi-layered mesh digital twin model; and performing multi-objective strategy optimization on the multi-layered mesh digital twin model to generate a mesh installation strategy on the anchor bolts. This invention can automatically generate mesh installation schemes with high coverage, low loss, and strong stability, reducing manual intervention, material waste and rework rates, effectively improving construction quality and automation levels, and has significant engineering application value and promising prospects for wider application.